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analytical data scientist

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

Data Scientist

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 Help in implementing advanced data science and analytics solutions by developing models, evaluating
 
 
 enterprise data assets, and providing actionable insights that support data-driven decision-making,
 
 
 performance optimization, and advanced analytics initiatives across Red Sea Global.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Implement data acquisition, profiling, cleansing, and transformation processes across enterprise data sources to ensure data integrity, analytical readiness, and alignment with defined governance and quality standards.
 </li>
 <li>
 Develop statistical, machine learning, and predictive models to analyze complex datasets, identify trends and correlations, and support operational, commercial, and strategic decision-making use cases.
 </li>
 <li>
 Evaluate data usability, completeness, and value to determine suitability for reporting, analytics, and coordinating remediation actions with data owners and data platform teams.
 </li>
 <li>
 Design and maintain analytical data views, semantic layers, and curated datasets used by BI tools, dashboards, and advanced analytics solutions to ensure consistent and business aligned interpretation of data.
 </li>
 <li>
 Provide analytical outputs, visualizations, and insight narratives that translate complex findings into clear recommendations tailored to technical and non-technical stakeholders.
 </li>
 <li>
 Support enterprise data governance execution by contributing to data quality controls, KPI definitions, business metadata documentation, and data stewardship activities across assigned data domains.
 </li>
 <li>
 Coordinate with business units to understand analytical requirements, validate assumptions, and deliver data-driven solutions addressing performance gaps and operational challenges.
 </li>
 <li>
 Review recurring data quality or analytical issues through root-cause analysis and contribute to corrective actions across data-producing functions to enhance long-term data reliability.
 </li>
 </ul>
 
 
 
 
 
 Academic Qualifications:
 
 bachelor&rsquo;s degree in data science, Computer Science, Statistics, or a related field.
 
 
 
 Years of Experience:
 
 4 years of relevant experience.
 
 
 
 Other Requirements:
 
 Certified Data Scientist (CDS), IBM Data Science Professional Certificate, or Microsoft Certified: Data Scientist Associate is preferred.
 
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Senior Specialist – Data Science

Müller's Solutions

<div>
 M&uuml;ller's Solutions is seeking a skilled Data Scientist for a 6-month contract position. In this role, you will utilize your expertise in machine learning, statistical analysis, and data modeling to extract meaningful insights from complex data sets. You will work collaboratively with cross-functional teams to develop predictive models and data-driven solutions that address business challenges and enhance organizational performance.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze large and complex data sets to identify trends, patterns, and relationships
 </li>
 <li>
 Develop and implement machine learning models to solve specific business problems
 </li>
 <li>
 Collaborate with stakeholders to define data requirements and translate business needs into data science problems
 </li>
 <li>
 Prepare data for analysis, including data cleaning, preprocessing, and transformation
 </li>
 <li>
 Communicate findings and insights to stakeholders through reports, dashboards, and presentations
 </li>
 <li>
 Stay current with advancements in data science, machine learning techniques, and industry best practices
 </li>
 <li>
 Monitor and maintain existing predictive models, updating them as necessary
 </li>
 <li>
 Participate in data governance and data quality initiatives to ensure data integrity
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 Proven experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong proficiency in programming languages such as Python or R, along with experience in data manipulation libraries (e.g., pandas, NumPy)
 </li>
 <li>
 Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras)
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively
 </li>
 <li>
 Solid understanding of statistical analysis, modeling techniques, and validation methods
 </li>
 <li>
 Excellent problem-solving skills and ability to work with large datasets
 </li>
 <li>
 Strong communication skills to convey complex concepts to non-technical audiences
 </li>
 <li>
 Ability to work independently and in a team-oriented environment
 </li>
 <li>
 Experience with SQL and database management is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Why Join Us:
 
 
 Opportunity to work with a talented and passionate team.
 
 
 Competitive salary and benefits package.
 
 
 Exciting projects and innovative work environment.
</div>

Data Scientist - 6 months contract

Explore 1067+ Analytical data scientist in Riyadh this March. Find roles across top companies and apply now to boost your career.

1067 analytical data scientist jobs In Riyadh

Data Scientist

Data Scientist I

Data Scientist

Data Scientist

Data Scientist

Senior Specialist – Data Science

Data Scientist - 6 months contract